Publications

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Journal Papers

Dai D. Mai , Si T. Do, Seunghye Lee, Hau T. Mai . A force neural network framework for structural optimization. Engineering Applications of Artificial Intelligence, 143, 109991. https://doi.org/10.1016/j.engappai.2024.109991 (PDF)

Dai D. Mai , Tri Diep Bao, Thanh-Danh Lam, Hau T. Mai . Physics-informed neural network for nonlinear analysis of cable net structures. Advances in Engineering Software, 196, 103717. https://doi.org/10.1016/j.advengsoft.2024.103717 (PDF)

Hau T. Mai , Seunghye Lee, Joowon Kang, Jaehong Lee. A damage-informed neural network framework for structural damage identification. Computers and Structures, 292, 107232. https://doi.org/10.1016/j.compstruc.2023.107232 (PDF)

Hau T. Mai , Dai D. Mai, Joowon Kang, Jaewook Lee, Jaehong Lee (2023). Physics-informed neural energy-force network: a unified solver-free numerical simulation for structural optimization. Engineering with Computers, 1435-5663. https://doi.org/10.1007/s00366-022-01760-0 (PDF)

Hau T. Mai , Tam T. Truong, Joowon Kang, Dai D. Mai, Jaehong Lee (2023). A robust physics-informed neural network approach for predicting structural instability. Finite Elements in Analysis and Design, 216, 103893. https://doi.org/10.1016/j.finel.2022.103893 (PDF)

Hau T. Mai , Jaewook Lee, Joowon Kang, H. Nguyen-Xuan, Jaehong Lee (2022). An Improved Blind Kriging Surrogate Model for Design Optimization Problems. Mathematics, 10, 2906. https://doi.org/10.3390/math10162906 (PDF)

Hau T. Mai , Qui X. Lieu, Joowon Kang, Jaehong Lee (2022). A novel deep unsupervised learning-based framework for optimization of truss structures. Engineering with Computers, 1435-5663. https://doi.org/10.1007/s00366-022-01636-3 (PDF)

Hau T. Mai , Seunghye Lee, Donghyun Kim, Jaewook Lee, Joowon Kang, Jaehong Lee (2023). Optimum design of nonlinear structures via deep neural network-based parameterization framework. European Journal of Mechanics - A/Solids, 98, 104869. https://doi.org/10.1016/j.euromechsol.2022.104869 (PDF)

Hau T. Mai , Qui X. Lieu, Joowon Kang, Jaehong Lee (2022). A robust unsupervised neural network framework for geometrically nonlinear analysis of inelastic truss structures. Applied Mathematical Modelling, 107, 332-352. https://doi.org/10.1016/j.apm.2022.02.036 (PDF)

Hau T. Mai , Joowon Kang, Jaehong Lee (2021). A machine learning-based surrogate model for optimization of truss structures with geometrically nonlinear behavior. Finite Element Analysis and Design, 196, 100646. https://doi.org/10.1016/j.finel.2021.103572 (PDF)

Conference Proceedings (peer-reviewed)

Hau T. Mai , Nguyen Hoai Son (2010). Non-Linear Finite Element analysis for Truss, Frame Structures Using Co-Rotational Approach with Simple, Linear and Efficient Constraint Equation. Vietnam Journal of Mechanics,33, 75-86.

Hau T. Mai , Sangeun Park, Taeseop Kim, Tuan Anh Nguyen, Jaehong Lee (2019). Deep Learning Used in Optimization Problems. The 10th International Conference on Computational Methods, Singapore. (PDF)

Hau T. Mai , Jaehong Lee (2021). Efficient data-collection strategy and hyperparameter tuning for machine learning using Bayesian optimization. 12th International Conference on Computational Methods(Ho Chi Minh City University of Technology), Viet Nam. (PDF)

Other

Hau T. Mai (2022). Physics-informed neural networks for the analysis and optimization of structures.(PhD. Thesis)
Sejong University (SJU)
PhD. Architectural Engineering
Supervised by: Prof. Jaehong Lee

Hau T. Mai (2011). Non-linear finite element analysis for truss, frame structures using co-rotational approach with simple, linear, and efficient constraint equation. MSc. Thesis
University Of Technical Education Ho Chi Minh City (UTE)
MSc. Civil Engineering
Supervised by: Prof. Nguyen Hoai Son and Dr. Mai Duc Dai